Home/Compare/awesome-ai-tools vs Scrapegraph-ai

Comparison

awesome-ai-tools vs Scrapegraph-ai

Verdict

Pick awesome-ai-tools if awesome AI Tools provides a curated list of top-notch AI resources across various domains from text generation to marketing; pick Scrapegraph-ai if scrapegraph-ai is a Python-based AI-driven web scraping tool designed for data extraction and web search, offering an alternative to traditional scraping methods with its AI capabilities.

Markdown twin · awesome-ai-tools alternatives · Scrapegraph-ai alternatives

GraphCanon updated Sep 20, 2026

8views this month

awesome-ai-tools logo

awesome-ai-tools

mahseema/awesome-ai-tools

★ 6.2kpushed Dec 31, 2025
vs
Scrapegraph-ai logo

Scrapegraph-ai

ScrapeGraphAI/Scrapegraph-ai

★ 31kpushed Sep 7, 2026

Trust & integrity

Signalawesome-ai-toolsScrapegraph-ai
Maintenance
Slowing (257d since push)
As of Sep 15, 2026 · github_public_v1
Active (10d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 15, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

awesome-ai-tools
A curated list of Artificial Intelligence Top Tools
Scrapegraph-ai
Python scraper based on AI

Stars

awesome-ai-tools
6.2k
Scrapegraph-ai
31k

Forks

awesome-ai-tools
2.2k
Scrapegraph-ai
3.1k

Open issues

awesome-ai-tools
1.3k
Scrapegraph-ai
17

Language

awesome-ai-tools
-
Scrapegraph-ai
Python

Adopt for

awesome-ai-tools
Awesome AI Tools provides a curated list of top-notch AI resources across various domains from text generation to marketing.
Scrapegraph-ai
Scrapegraph-ai is a Python-based AI-driven web scraping tool designed for data extraction and web search, offering an alternative to traditional scraping methods with its AI capabilities.

Persona

awesome-ai-tools
-
Scrapegraph-ai
-

Runtime

awesome-ai-tools
-
Scrapegraph-ai
-

License

awesome-ai-tools
MIT
Scrapegraph-ai
MIT License

Last pushed

awesome-ai-tools
Dec 31, 2025
Scrapegraph-ai
Sep 7, 2026

Categories

awesome-ai-tools
AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio
Scrapegraph-ai
Data & Retrieval, Developer Tools

Trust and health

Maintenance

awesome-ai-tools
Slowing (36%)
Scrapegraph-ai
Active (82%)

Days since push

awesome-ai-tools
257d
Scrapegraph-ai
10d

Open issues (now)

awesome-ai-tools
1.3k
Scrapegraph-ai
17

Stars delta

awesome-ai-tools
+288 (30d)
Scrapegraph-ai
+1.4k (30d)

Open issues delta

awesome-ai-tools
+137 (30d)
Scrapegraph-ai
+5 (30d)

Owner type

awesome-ai-tools
User
Scrapegraph-ai
Organization

Full report

awesome-ai-tools
Trust report
Scrapegraph-ai
Trust report

Choose awesome-ai-tools if…

  • Tags unique to awesome-ai-tools: ai-tools-list, awesome-ai-tools, code-ai, editor-choice.
  • Also covers AI Agents, Computer Vision, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio.
  • When in need of a wide range of categorized AI tools for varied tasks like text generation, audio and video creation, or email management

When NOT to use awesome-ai-tools

  • If you seek in-depth technical documentation on each tool since the repository mainly lists tools without comprehensive descriptions
  • When you are exclusively interested in AI tools focusing only on one niche domain as there is a broad spectrum of choices presented here

Choose Scrapegraph-ai if…

  • Pricing: Free to use under the MIT License, with no explicit mention of paid features in the repository..
  • Requirements: Min 2 GB RAM; Requires Python environment to run..
  • Tags unique to Scrapegraph-ai: ai-crawler, ai-scraping, ai-search, crawler.
  • Scrapegraph-ai ships Docker support for self-hosted deployment.
  • When you need advanced AI-driven scraping capabilities that can adapt to complex web structures and extract data more intelligently than traditional scrapers.

When NOT to use Scrapegraph-ai

  • If your project requires a more lightweight solution, as Scrapegraph-ai's AI features might introduce additional overhead.
  • When your scraping needs are simple and do not require the sophisticated AI capabilities that Scrapegraph-ai offers, opting for a simpler tool might be more efficient.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: awesome-ai-tools 6.2k · Scrapegraph-ai 31k (synced Sep 20, 2026).

Common questions

What is the difference between awesome-ai-tools and Scrapegraph-ai?
awesome-ai-tools: A curated list of Artificial Intelligence Top Tools. Scrapegraph-ai: Python scraper based on AI. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-ai-tools over Scrapegraph-ai?
Choose awesome-ai-tools over Scrapegraph-ai when Tags unique to awesome-ai-tools: ai-tools-list, awesome-ai-tools, code-ai, editor-choice; Also covers AI Agents, Computer Vision, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio; When in need of a wide range of categorized AI tools for varied tasks like text generation, audio and video creation, or email management.
When should I choose Scrapegraph-ai over awesome-ai-tools?
Choose Scrapegraph-ai over awesome-ai-tools when Pricing: Free to use under the MIT License, with no explicit mention of paid features in the repository.; Requirements: Min 2 GB RAM; Requires Python environment to run.; Tags unique to Scrapegraph-ai: ai-crawler, ai-scraping, ai-search, crawler; Scrapegraph-ai ships Docker support for self-hosted deployment; When you need advanced AI-driven scraping capabilities that can adapt to complex web structures and extract data more intelligently than traditional scrapers.
When should I avoid awesome-ai-tools?
If you seek in-depth technical documentation on each tool since the repository mainly lists tools without comprehensive descriptions When you are exclusively interested in AI tools focusing only on one niche domain as there is a broad spectrum of choices presented here
When should I avoid Scrapegraph-ai?
If your project requires a more lightweight solution, as Scrapegraph-ai's AI features might introduce additional overhead. When your scraping needs are simple and do not require the sophisticated AI capabilities that Scrapegraph-ai offers, opting for a simpler tool might be more efficient.
Is awesome-ai-tools or Scrapegraph-ai more popular on GitHub?
Scrapegraph-ai has more GitHub stars (31,068 vs 6,200). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-ai-tools and Scrapegraph-ai open source?
Yes - both are open-source projects on GitHub (awesome-ai-tools: MIT, Scrapegraph-ai: MIT).
Where can I find alternatives to awesome-ai-tools or Scrapegraph-ai?
GraphCanon lists graph-backed alternatives at awesome-ai-tools alternatives and Scrapegraph-ai alternatives (awesome-ai-tools markdown twin, Scrapegraph-ai markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, awesome-ai-tools or Scrapegraph-ai?
awesome-ai-tools: Slowing. Scrapegraph-ai: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for awesome-ai-tools and Scrapegraph-ai?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-tools trust report; Scrapegraph-ai trust report.

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